class_docstr: Base class of context encoders for training meta-RL algorithms.
docstr: int: Dimension of the encoder input.
docstr_tok: ["int",":","Dimension","of","the","encoder","input","."]
code: def input_dim(self):
      """int: Dimension of the encoder input."""
  
file_path: garage/src/garage/np/embeddings/encoder.py
imports: import abc
label_desc: Use image node_id 2 for calling the Encoder obj's underlying member method code with example usage: obj.input_dim() without return types